Papers with TrueTeacher

1 papers
TrueTeacher: Learning Factual Consistency Evaluation with Large Language Models (2023.emnlp-main)

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Challenge: Existing methods for evaluating factual consistency are limited in their effectiveness.
Approach: They propose a method for generating synthetic data by annotating diverse model-generated summaries using a LLM.
Outcome: The proposed method outperforms state-of-the-art models and the LLM teacher on TRUE benchmarks.

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